Triple
T11502279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bronx County |
E272690
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Belmont
Belmont is a predominantly residential neighborhood in the central Bronx, New York City, known for its strong Italian-American heritage and the commercial strip of Arthur Avenue.
|
E78942
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Belmont | Statement: [Bronx County, contains, Belmont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belmont Context triple: [Bronx County, contains, Belmont]
-
A.
Belmont
Belmont is a residential neighborhood in West Philadelphia known for its historic rowhouses and proximity to Fairmount Park.
-
B.
Belmont
Belmont is a city on the San Francisco Peninsula in California, known for its suburban character, hilly terrain, and proximity to major Bay Area tech and transportation hubs.
-
C.
Belmont
Belmont is a Chicago Transit Authority rapid transit station on the Blue Line serving the city's Northwest Side.
-
D.
Belmont
Belmont is a suburban residential area in the south of London, known for its quiet streets, local amenities, and proximity to green spaces.
-
E.
Belmont
Belmont is a suburban town in Middlesex County, Massachusetts, known for its residential character and proximity to Boston.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Belmont Triple: [Bronx County, contains, Belmont]
Generated description
Belmont is a predominantly residential neighborhood in the central Bronx, New York City, known for its strong Italian-American heritage and the commercial strip of Arthur Avenue.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Belmont Target entity description: Belmont is a predominantly residential neighborhood in the central Bronx, New York City, known for its strong Italian-American heritage and the commercial strip of Arthur Avenue.
-
A.
Belmont
chosen
Belmont is a predominantly residential neighborhood in the central Bronx, New York City, historically known as the borough’s “Little Italy” for its Italian-American community and businesses.
-
B.
Belmont
Belmont is a residential neighborhood in West Philadelphia known for its historic rowhouses and proximity to Fairmount Park.
-
C.
Belmont
Belmont is a suburban district within the London Borough of Harrow, known for its residential character and local shopping and community facilities.
-
D.
Belmont
Belmont is a suburban town in Middlesex County, Massachusetts, known for its residential character and proximity to Boston.
-
E.
Belmont
Belmont is a city on the San Francisco Peninsula in California, known for its suburban character, hilly terrain, and proximity to major Bay Area tech and transportation hubs.
- F. None of above.
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de55cbc8190be71c2d03dc044f2 |
completed | April 10, 2026, 2:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e604bc1d3c81908497f1d19dcc2167 |
completed | April 20, 2026, 10:49 a.m. |
| NEDg | Description generation | batch_69e610a82c308190927158dbd566b0d4 |
completed | April 20, 2026, 11:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e61853a3b48190b0d132761e9be69c |
completed | April 20, 2026, 12:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.